Anomaly_Detection/mkdocs.yml at main · JimWid/Anomaly_Detection · GitHub

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site_name: Anomaly Detection
site_description: PatchCore-based anomaly detection for industrial quality control

theme:
  name: material
  palette:
    primary: deep orange
    accent: blue grey
  features:
    - navigation.instant
    - navigation.sections
    - content.code.copy

nav:
  - Home: index.md
  - Project Overview: project-overview.md
  - Model Architecture: model-architecture.md
  - Data Preprocessing: data-preprocessing.md
  - Training: training.md
  - Results and Inference: results.md
  - Challenges and Learnings: challenges.md
  - Installation: installation.md
  - Usage Guide: usage.md

  - Homework - DONE:
    - Overview: homework/index.md
    - Step 1 - Preprocessing: homework/step-1-preprocessing.md
    - Step 2 - Dataset: homework/step-2-dataset.md
    - Step 3 - Model: homework/step-3-model.md
    - Step 4 - Training: homework/step-4-training.md
    - Step 5 - Inference: homework/step-5-inference.md
    - Step 6 - App: homework/step-6-app.md

markdown_extensions:
  - admonition
  - pymdownx.highlight:
      anchor_linenums: true
  - pymdownx.superfences
  - pymdownx.tabbed:
      alternate_style: true
  - toc:
      permalink: true